Apr 16, 2017
The latest draft of my book is available. This will be my last pre-publication update, as I’m in the process …Continue reading →
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The latest draft of my book is available. This will be my last pre-publication update, as I’m in the process …Continue reading →
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with in ...
mtcars appreciation tumblr post
Quem nunca estudou a linguagem R e utilizou o data.frame mtcars como modelo de dados? Mas enquanto algumas colunas têm nomes instintivos, outros não dão pista alguma do que são. A qualquer momento você pode, obviamente digitar um help(mtcars) e verificar o conteúdo do data.frame, afinal, é um conjunto de dados base do R.
Mesmo tendo o help para nos informar o que cada coluna significa, restam algumas dúvidas acerca de seus significados. Abaixo, discrimino o que cada coluna abriga e, algumas vezes, informo a conversão¹ em unidades mais utilizadas fora dos EUA.
mpg: milhas por galão.
Quantas milhas (1 milha = 1,61 km) cada carro percorre com um galão (3,785L) de combustível.
cyl: número de cilindros
disp: Cilindradas por polegada cúbica (deslocamento do motor)
Antigamente as cilindradas eram medidas em polegadas cúbicas (1 polegada = 0,02L), mas hoje são medidas em litros.
hp: potência bruta (cavalos)
drat: relação do eixo traseiro
wt: peso do carro (1000 libras)
1 libra = 0,45kg
qsec: tempo do quarto de milha (segundos)
Tempo que o automóvel leva para percorrer um quarto de milha (402,5m) em sua arrancada.
vs: formato do motor
0 = motor em v (cilindros em paralelo, ao lado do motor); 1 = em linha.
am: transmissão
0 = automática; 1 = manual.
gear: número de marchas para a frente
carb: número de carburadores
os carros atuais não trabalham mais com este componente, mas com a injeção eletrônica.
1. Os números informados para a conversão foram extraídos de pesquisas diretas ao google.
Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 3 Which introduces us to Scikit-Learn. It Ta...
Welcome to the video series on Introduction to Machine Learning with Scikit-Learn. This video contains Chapter - 3 Which introduces us to Scikit-Learn. It Talks about what it is and what should we know to use the same Hope it helps you to learn something new... Enjoy.. Feel free to connect with me @ YouTube: https://www.youtube.com/CodesBay Twitter: https://twitter.com/CodesBay Facebook: https://www.facebook.com/CodesBay Instagram: https://www.instagram.com/CodesBay Github: https://github.com/CodesBay Pinterest: https://in.pinterest.com/CodesBay Tumblr: https://CodesBay.tumblr.com Web: http://www.CodesBay.com #python #pandas #machinelearning #dataanalytics #datascience #dataframe #analytics #data #programming #AI #deeplearning
Here is how we can use social media data from Twitter to conduct a sentiment analysis using twitteR and tidytext. In this example, we will see how to conduct a sentiment analysis on the search term "gold prices".
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Here is how a multilevel model can be used to analyse vendor data across different categories in R using the lme4 library.
Here is an example of how to build a Shiny Web App to stream market data, including currency and stock prices. *Note: WIKI for stock streaming is no longer s...
When it comes to time series forecasts, conventional models such as ARIMA are often a popular option. While these models can prove to have high degrees of accuracy, they have one major shortcoming – they do not typically account for “shocks”, or sudden changes in a time series. Let’s see how we can potentially alleviate […]